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rerx

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techcrunch.com 3mo ago

DeepL, known for text translation, now wants to translate your voice

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2pts0
www.tomshardware.com 4mo ago

Nvidia Groq 3 LPU and Groq LPX racks join Rubin platform – SRAM-packed

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3pts0
startupsmagazine.co.uk 9mo ago

Why thoroughbreds (not unicorns) are winning the AI race

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2pts0
techcrunch.com 1y ago

DeepL launches DeepL Voice, real-time translations from voices and videos

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2pts0
thenextweb.com 1y ago

DeepL launches 'industry-first' AI glossary generator for business translations

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1pts0
www.businessinsider.com 2y ago

Amazon tells managers they can now fire employees who won't come into the office

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11pts5
www.reuters.com 2y ago

China's Baichuan, Zhipu AI launch AI models after receiving approval

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1pts0
www.forbes.com 2y ago

DeepL: German Unicorn Is Trying to Take on Google Translate and ChatGPT

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4pts1
www.humblebundle.com 3y ago

Humble Tech Book Bundle: Popular Programming Languages 2023 by O'Reilly

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3pts1
techcrunch.com 3y ago

DeepL takes aim at Grammarly with the launch of Write, to clean up your prose

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14pts3
techcrunch.com 3y ago

DeepL, the AI-based language translator, raises over $100M at a $1B+ valuation

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9pts4
arstechnica.com 3y ago

Apple clarifies security update policy: Only the latest OSes are fully patched

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4pts0
discussions.apple.com 3y ago

Apple Mail Crashes in Ventura

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2pts0
slack.com 3y ago

Slack messages older than 90 days will be hidden for free users from September

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26pts22
phdcomics.com 4y ago

PhD Comics: The Covid-19 Virus Explained

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3pts0
www.deepl.com 5y ago

DeepL Translator Launches 13 New European Languages

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2pts0
www.humblebundle.com 5y ago

Humble Book Bundle: Learn You More Code by No Starch Press

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12pts3
github.com 5y ago

The Projector for JetBrains IDE

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3pts0
www.joelonsoftware.com 5y ago

The Development Abstraction Layer (2006)

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3pts0
www.theguardian.com 5y ago

Germans embrace fresh air to ward off coronavirus

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2pts0
www.spiegel.de 5y ago

Russian Opposition Leader Navalny on His Poisoning: “Putin Was Behind the Crime”

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3pts0
www.theregister.com 5y ago

Despite rolling a homegrown translation app, Apple resorts to freebie tool

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3pts0
www.theverge.com 5y ago

Sony WH-1000XM4 review: The best noise-canceling headphones get better

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5pts1
ai.googleblog.com 6y ago

Recent Advances in Google Translate

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2pts0
www.atlassian.com 6y ago

How to run effective meetings, and thrive

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1pts0
www.deepl.com 6y ago

Customize DeepL Translator with the Glossary

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1pts0
www.deepl.com 6y ago

DeepL Pro – Now Available in the United States and Canada

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3pts0
www.gregegan.net 6y ago

Stephen Wolfram’s Science

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2pts0
www.deepl.com 6y ago

Brazilian Portuguese now available on DeepL Translator

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2pts0
medium.com 6y ago

Coronavirus: The Hammer and the Dance

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6pts1

The camera based object (and poop) avoidance actually works pretty well in my Roomba j7+, bought in 2022.

The cloud-based software for everything else has degraded in quality, tjough. I'll probably upgrade to a lidar-equipped competitor model if this continues to get worse after this bancruptcy.

I disagree on your 14th century building picture being "nothing special" to Europeans. All the major German cities that I've lived in were bombed to ashes in WW2. Most buildings are post war construction. Picturesque towns like Tübingen with conserved old buildings are an exception in Germany and attract local tourism for this reason. Split is a UNESCO world heritage site and pulls in tourists from all over the world.

"Basically nobody writes CUDA," wrote Keller in a follow-up post. "If you do write CUDA, it is probably not fast. […] There is a good reason there is Triton, Tensor RT, Neon, and Mojo."

Even Nvidia itself has tools that do not exclusively rely on CUDA. For example, Triton Inference Server is an open-source tool by Nvidia that simplifies deploying AI models at scale, supporting frameworks like TensorFlow, PyTorch, and ONNX. Triton also provides features like model versioning, multi-model serving, and concurrent model execution to optimize the utilization of GPU and CPU resources.

Nvidia's TensorRT is a high-performance deep learning inference optimizer and runtime library that accelerates deep learning inference on Nvidia GPUs. [...]

Keller was speaking of OpenAI's Triton (https://openai.com/research/triton), a Python-like language that is compiled to code for Nvidia GPUs, but Tom's Hardware mixed this up with Nvidia's Triton Inference Server, a higher level tool that's really not a replacement for CUDA and not directly related to the Triton language. Easy to confuse these if you are a writer in a hurry.

Absolutely a country thing!

In countries where the Amazon Prime membership (originally this was for fast free shipping only) is available, Prime Video is included with that: https://en.wikipedia.org/wiki/Amazon_Prime#Availability

Outside of those countries you can typically get Prime Video as a cheaper, separate subscription: https://en.wikipedia.org/wiki/Amazon_Prime_Video#Availabilit...

In Germany, for instance, I don't think you can get Prime Video without the full Amazon Prime subscription. In countries where the shipping benefit is more costly (like the US) they may offer different membership tiers.

I just recalled that Amazon increased the price slightly last year when they launched Rings of Power.

Typically I subscribe to these services for just a few months at a time, depending on what's interesting. Harder to do with accounts that are shared by a larger household, I guess.

While this is true, Netflix hiked prices massively over the years. Their 4K/HDR offering is 17.99 EUR per month here. Amazon Prime including Prime Video is still 8.99 EUR/month, cheaper if paid yearly, without any surcharge for 4K/HDR. So that's more than twice the price for a comparable streaming service.

I think that's a common myth. There's no separate category for frozen pizza in Nutriscore. The categories are: general food, drinks, cheeses, and oils/fats.

Pizza producers can game the system somewhat, however, by adding ingredients that are counted positive (like protein or fiber) to partially offset "negative" ingredients such as sugar or saturated fats.

Dairy lobbying has led to cheese as a separate category and that milk is counted as food, rather than drink.

I only drive carsharing and rental vehicles occasionally, so I probably have more limited exposure than most, but most German gas stations that I can think of have quite a lot of free space. There's usually room to park a couple of cars for a short while even while they are not taking gas (to go to the store, to use a coin operated vacuum, ...). Maybe it's regulations?

I don't think the article fully applies to large language models (LLMs).

Inference will Dominate, not Training

This rings true. While LLMs will be fine-tuned by many, fewer companies will train their own independent foundation models from scratch (which doesn't require a "few GPUs", but hundreds with tight interconnect). The inference cost of running these in applications will dominate in these companies.

CPUs are Competitive for Inference

I disagree for LLMs. Running the inference still takes a lot of the type of compute that GPUs are optimized for. If you want to respond to your customers' requests with acceptable latency (and achieve some throughput), you will want to use GPUs. For "medium-sized" LLMs you won't need NVLink-level interconnect speeds between your GPUs, though.

You may be kidding, but in several cities the police started pulling out VanMoof and Cowboy bikes because those models came with "US" or "off-road" modes to raise their motor speed limits. It didn't matter whether people had them activated, just having the software option easily accessible was enough (frankly, the manufacturers were very aware of this being illegal). Owners of these Cowboy models were given the option to disable the switch in a firmware update. Newer Cowboy or VanMoof models didn't come with that option anymore. Both brands lost one of their major unique selling points.

45 km/h S-Pedelecs can't legally be used on most bike lanes, at least in Germany, even at lower speeds. You always have to share the roadway with cars etc. For many that defeats the purpose of cycling.

The actual cut off for the assistance is typically set to 27.5 km/h, because regulations allow for 10% of tolerance... Then, depending on transmission ratios, it can be quite comfortable to ride at ~30 km/h. The acceleration boost at lower speeds is still super useful.

Of course, VanMoof's and Cowboy's original spiel was that you could easily disable the limit in software.

They wouldn't be expensive for that price if they used quality parts and assembled them well (I don't think VanMoof offered a good deal because those crucial aspects were lacking). The market for a quick city e-bike is a bit different than the one for a throwaway commuter bike. People pay for being faster and enjoying the ride. Accordingly, I would make sure such a bike is insured against theft and use a quality lock.